AI-based security detection automates the analysis of large, complex data sets to uncover threats in real time. These systems not only flag potential risks but can also trigger automated response ...
Why is Using AI to Protect Data from Cybercriminals Crucial? - IT News Africa | Business Technology, Telecoms and Startup ...
Cloud security is not something SMBs can outsource entirely. Vendors secure the infrastructure, but it’s up to businesses to ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
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Browser-based attacks hit 95% of enterprises — and traditional security tools never saw them coming
Omdia research shows 95% of organizations faced browser-based attacks last year. CrowdStrike's CTO and Clearwater Analytics' ...
The cybersecurity landscape is rapidly changing, with hackers increasingly utilising Artificial Intelligence (AI) to carry ...
The Samsung Galaxy S26 family of phones could be the first non-Pixel devices to offer Google 's scam call detection feature.
Microsoft’s investigation into RedVDS services and infrastructure uncovered a global network of disparate cybercriminals ...
Today’s global cybersecurity threat landscape is now defined by stealth and sophistication, fundamentally reshaping how organizations approach risk ...
AI and blockchain are increasingly converging. In the future, individual Bitcoin nodes may operate alongside autonomous AI ...
In 2026, AI will redefine cyber conflict. It’s already embedded in criminal toolkits and, alongside machine learning, it will standardise attack and defence tactics according to Kinetic IT, one of ...
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